Java Backend developer with 3+ years in Spring Boot & Microservices
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Performance-driven Java Backend Developer with around 3 years of experience specializing in the development and optimization of Spring Boot microservices within the Healthcare and Insurance sectors. Proven track record of enhancing system scalability and reliability for enterprise clients like AIG and Pfizer through the RESTful API development, Redis caching, and robust JUnit/Mockito testing. Expert at identifying performance bottlenecks and implementing multithreaded solutions that significantly reduce latency and improve system responsiveness.
Avasari College of Engineering & Research (Pune University)
B.E.
August 1, 2019 – June 30, 2023
Vyanktrao High School & Jr. College, Ichalkaranji
HSC
June 1, 2018 – May 31, 2019
Shri Mouni Maharaj High School, Gargoti
SSC
June 1, 2017 – May 31, 2017
Tata Consultancy Services
Java Backend Developer – Assistant System Engineer
November 1, 2024 – Present
India
Tata Consultancy Services
Assistant System Engineer Trainee
November 1, 2023 – November 1, 2024
India
Araha Consultancy Services
Front End Developer Intern
September 1, 2022 – May 1, 2023
India
Google Gen AI Leader
June 1, 2026 – Present
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services, a large enterprise, indicates an ability to work in structured, team-oriented environments. Their focus on performance optimization and maintainability aligns with best practices in software development. The inclusion of certifications like 'Google Gen AI Leader' and 'AWS Cloud Practitioner' shows a commitment to continuous learning and staying current with industry trends, which is a positive indicator for cultural fit in a dynamic tech environment. The diverse project experience, from backend optimization to a frontend internship, suggests a broad interest in technology, though the primary focus is clearly backend.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through performance optimization initiatives and a proactive approach to improving system responsiveness. Their experience in a large organization like TCS suggests an ability to work within structured environments and contribute to complex projects. The use of AI-assisted tools indicates adaptability and a willingness to leverage new technologies for efficiency.